habitat-suitability

Tools for working with Maxent in R

Habitat Suitability Modeling with Random Forest Classification in Google Earth Engine

A Python-based tool set for stream design, river restoration, and eco-hydraulic assessments.

A Graphical User Interface-Based R Package for Species Distribution Modeling

European potential natural vegetation mapping

habitat: An R Package for Analyzing and Comparing Habitat Changes

Map iNaturalist observations to global climate, geology, and topography data and see combined species habitat or cultivation potential.

🌍🌾 Presentation of the Article "Climate Change May Alter the Availability of Wild Food Plants in the Brazilian Semiarid"

Leverages big data and machine learning for wildlife conservation using GBIF species data. PySpark is used for preprocessing, K-Means for clustering, and Decision Trees for habitat prediction. Tableau visualizes species distribution, biodiversity, and conservation insights.

Workflow for habitat and metapopulation modeling of white-tailed deer and wild pigs in Mississippi

Monthly habitat suitability maps for high-abundance zooplankton patches ("tau-patches"). Point-and-click Shiny app or YAML-driven R package: Copernicus covariates, derived fronts and lags, four model types. Rebuilt from Ross et al. (2023).

MiraMon connectivity pipeline

Methods for Lavender, Fox and Burrows (2021). Modelling the impacts of climate change on the relative abundance of shallow-water marine fish at a global scale. PLOS ONE 16(10): e0258184. https://doi.org/10.1371/journal.pone.0258184

An R package for performing coastal habitat modeling.

HABFUZZ [Software] · A command-line tool for data-driven fuzzy modelling

Watershed Area of Suitable Habitat

Habitat suitability modelling for the critically endangered Sumatran elephant in Tebo District, Jambi — using MaxEnt algorithm, 8,521 occurrence records, and 7 environmental predictor variables. AUC: 89–90%.

Spatiotemporal analyses of Dissolved Oxygen & Temperature from monitoring rear-edge, protected species in Indiana lakes with INDNR. Habitat Modeling & Temporal Scale Comparisons

Utilize Python to interface with ArcGIS Pro via the arcpy package, and conduct a habitat suitability model!

Interactive marine habitat suitability app for the Southern California Bight built in Google Earth Engine — SST, chlorophyll-a, and bathymetry fusion with fuzzy logic index